Bloomberg Second Measure
About Bloomberg Second Measure
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Bloomberg Second Measure by Bloomberg Second Measure is a powerful market research tool designed to provide near real-time insights into consumer behavior using anonymized credit and debit card transactions. It enables businesses, investors, and analysts to track and benchmark company performance well ahead of earnings reports. The platform’s primary purpose is to offer granular, transaction-level data that reveals purchasing patterns across industries, geographies, and specific merchants. This allows users to conduct competitive analysis, understand customer retention trends, and assess market shifts with a high degree of precision. Key features include cohort analysis, geographic and demographic segmentation, customizable dashboards, and benchmarking against competitors—all in a single analytics environment. The user interface of Bloomberg Second Measure is both clean and highly intuitive. The dashboard layout is logically structured, with menus and filtering tools conveniently placed for efficient access. Users can navigate between companies, metrics, and timeframes with ease, thanks to an interactive graphing interface and a responsive design that adapts well to different screen sizes. The use of vibrant, clearly labeled charts enhances readability, even for complex datasets.
Pros & Cons
- +Offers an extensive historical dataset of U.S. consumer transactions (8+ years, billions of purchases), providing a rich foundation for analysis.
- +Allows for querying a variety of key metrics at highly specific frequencies (daily, weekly, etc.), enabling detailed and precise analysis.
- +The sophisticated data pipeline (merchant resolution, enrichment, normalization) ensures high data quality and accuracy, minimizing data noise.
- +Provides visibility across numerous sectors and industries, allowing for comprehensive market and competitive analysis.
- +The ability to differentiate between online and in-store purchases offers valuable insights into sales channels and consumer preferences.
- −The data is specifically on "millions of U.S. consumers," limiting its applicability for global market analysis.
- −While normalized, the data still originates from a consumer panel, which inherently carries some potential for bias or representativeness limitations compared to direct company reported figures.
- −As a Bloomberg product, it is likely a premium service, potentially making it inaccessible for smaller firms or individual investors without significant budgets.
- −While providing insights into company performance, it relies on transaction data and doesn't offer direct access to traditional financial statements or earnings figures.
- −While covering many sectors, the nature of transaction data means it's primarily relevant for analyzing consumer-facing companies, less so for B2B or industrial sectors.
Features
Key features
- Exclusive Transaction Dataset & Historical Data
- Bloomberg Second Measure provides access to billions of U.S. consumer purchases with over 8 years of transaction history. This extensive and proprietary dataset allows for deep historical analysis of consumer spending trends, offering a unique foundation for understanding company performance over time.
- Granular Metric Querying
- Users can query specific metrics like sales, customer counts, average transaction values, and retention rates at various granularities (daily, weekly, monthly, quarterly, fiscal-quarterly, annual). This flexibility enables highly precise analysis tailored to specific research questions about company performance.
- Cross-Sector & Industry Visibility
- The platform offers data visibility across a wide range of sectors and industries, including retail, grocery, DTC, quick-service restaurants, transportation, and streaming services. This broad coverage allows for comparative analysis across different economic segments and a holistic view of consumer behavior.
- Proprietary Data Pipeline (Merchant Resolution, Enrichment, Normalization)
- Bloomberg Second Measure employs a sophisticated data pipeline that transforms raw transaction data. This includes deciphering varied merchant descriptions (Merchant Resolution), adding and correcting transaction-level information like location and channel (Enrichment), and accounting for consumer panel fluctuations (Normalization). This rigorous processing ensures the accuracy and reliability of the data.
- Online vs. In-Store Purchase Segmentation
- The enrichment process specifically segments online versus in-store purchases. This feature provides crucial insights into channel performance and consumer preferences, allowing for a more nuanced understanding of a company's sales drivers.
Additional features
- Access to Billions of Purchases
- Provides an extensive dataset of U.S. consumer transactions.
- 8+ Years of Transaction History
- Offers a deep historical view of spending trends for long-term analysis.
- Data on Thousands of Companies and Brands
- Covers a wide array of entities for comprehensive market understanding.
- Exclusive Transaction Dataset
- Utilizes a proprietary data source for unique insights.
- Insights on Consumer Trends
- Enables understanding of broader consumer behavior patterns.
- Insights on Company Performance
- Allows for detailed analysis of individual company financial health and growth.
- Query Key Metrics
- Users can extract specific data points such as sales, customer counts, average transaction values, and retention rates.
- Multiple Rollup Frequencies
- Metrics can be viewed on a daily, weekly, monthly, quarterly, fiscal-quarterly, or annual basis.
- Visibility Across Multiple Sectors and Industries
- Covers diverse areas like retail, grocery, DTC, QSR, transportation, and streaming.
Pricing
Countries & Languages
Interface languages
Billing currencies
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About Bloomberg Second Measure
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Bloomberg Second Measure Details
Bloomberg Second Measure's In-App Market Place
Does Bloomberg Second Measure have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩)
Pros & Cons
- Offers an extensive historical dataset of U.S. consumer transactions (8+ years, billions of purchases), providing a rich foundation for analysis.
- Allows for querying a variety of key metrics at highly specific frequencies (daily, weekly, etc.), enabling detailed and precise analysis.
- The sophisticated data pipeline (merchant resolution, enrichment, normalization) ensures high data quality and accuracy, minimizing data noise.
- Provides visibility across numerous sectors and industries, allowing for comprehensive market and competitive analysis.
- The ability to differentiate between online and in-store purchases offers valuable insights into sales channels and consumer preferences.
- The data is specifically on "millions of U.S. consumers," limiting its applicability for global market analysis.
- While normalized, the data still originates from a consumer panel, which inherently carries some potential for bias or representativeness limitations compared to direct company reported figures.
- As a Bloomberg product, it is likely a premium service, potentially making it inaccessible for smaller firms or individual investors without significant budgets.
- While providing insights into company performance, it relies on transaction data and doesn't offer direct access to traditional financial statements or earnings figures.
- While covering many sectors, the nature of transaction data means it's primarily relevant for analyzing consumer-facing companies, less so for B2B or industrial sectors.
Bloomberg Second Measure's Support Options
Email Address
info@secondmeasure.comBloomberg Second Measure's Alternatives
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